The forkhead box M1 (FOXM1) expression and antitumor effect of FOXM1 inhibition in malignant rhabdoid tumor

Shibui, Yuichi; Kohashi, Kenichi; Tamaki, Akihiko; Kinoshita, Izumi; Yamada, Yuichi; Yamamoto, Hidetaka; Taguchi, Tomoaki

doi:10.1007/s00432-020-03438-w

Cited by 7 publications

(5 citation statements)

References 97 publications

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“…Despite the fact that dysregulated expression of certain FOX genes has been observed in a few cancers, 30 , 31 the expression pattern of the entire FOX gene family across cancer types remains unclear. Filtering for cancer types with at least 10 matched tumor‐normal samples, 16 cancer types were selected for further analysis.…”

Section: Resultsmentioning

confidence: 99%

Pan‐cancer analyses reveal multi‐omic signatures and clinical implementations of the forkhead‐box gene family

Zheng

Cai

et al. 2023

Cancer Medicine

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BackgroundForkhead box (FOX) proteins belong to one of the largest transcription factor families and play crucial roles in the initiation and progression of cancer. Prior research has linked several FOX genes, such as FOXA1 and FOXM1, to the crucial process of carcinogenesis. However, the overall picture of FOX gene family across human cancers is far from clear.MethodsTo investigate the broad molecular signatures of the FOX gene family, we conducted study on multi‐omics data (including genomics, epigenomics and transcriptomics) from over 11,000 patients with 33 different types of human cancers.ResultsPan‐cancer analysis reveals that FOX gene mutations were found in 17.4% of tumor patients with a substantial cancer type‐dependent pattern. Additionally, high expression heterogeneity of FOX genes across cancer types was discovered, which can be partially attributed to the genomic or epigenomic alteration. Co‐expression network analysis reveals that FOX genes may exert functions by regulating the expression of both their own and target genes. For a clinical standpoint, we provided 103 FOX gene‐drug target‐drug predictions and found FOX gene expression have potential survival predictive value. All of the results have been included in the FOX2Cancer database, which is freely accessible at http://hainmu‐biobigdata.com/FOX2Cancer.ConclusionOur findings may provide a better understanding of roles FOX genes played in the development of tumors, and help to offer new avenues for uncovering tumorigenesis and unprecedented therapeutic targets.

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Section: Resultsmentioning

confidence: 99%

Pan‐cancer analyses reveal multi‐omic signatures and clinical implementations of the forkhead‐box gene family

Zheng

Cai

et al. 2023

Cancer Medicine

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“…These intriguing findings prompted us to investigate the potential role of FOXI2 in ccRCC, as well as the mechanisms underlying its regulation. FOXI2 is a member of the Forkhead box (Fox) protein superfamily, a group of proteins known to function as either tumor suppressors or oncogenes [ [26] , [27] , [28] ]. Remarkably, prior to this study, FOXI2 had not been subjected to functional investigations in neoplastic diseases, particularly in renal cell carcinoma.…”

Section: Discussionmentioning

confidence: 99%

Epigenetic regulation of FOXI2 promotes clear cell renal cell carcinoma progression

Zhou,

Cheng,

Liao

et al. 2024

Heliyon

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“…They act as proto‐oncogenes in several cancer types and have been reported as poor prognostic factors. 38 , 39 , 40 , 41 , 42 PLK1 can lead to inappropriate chromosome segregation, aneuploidy, and tumorigenesis. 43 CDK1 makes the cell cycle shift from the G2 to the M phase.…”

Section: Discussionmentioning

confidence: 99%

“…FOXM1, PLK1, and CDK1 are all well‐known cell cycle–related factors. They act as proto‐oncogenes in several cancer types and have been reported as poor prognostic factors 38–42 . PLK1 can lead to inappropriate chromosome segregation, aneuploidy, and tumorigenesis 43 .…”

Section: Discussionmentioning

confidence: 99%

Prognostic value of nuclear morphometry in myxoid liposarcoma

et al. 2023

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Myxoid liposarcoma (MLS) accounts for 20%‐30% of liposarcoma and the round cell component (RCC) is believed to be a specific poor prognostic factor. However, the RCC assessment criteria are vaguely defined and, therefore, are inconsistently employed by pathologists. In this study, we modified and applied two established grading systems to evaluate nuclear atypia (namely, the World Health Organization/International Society of Urological Pathology and the Fuhrman grading in renal cell carcinoma) in 64 MLS cases. Detailed software‐based assessments of the morphology and the cellularity were performed. DNA mutation analysis, comprehensive mRNA expression analysis, and immunohistochemistry were also performed. Our findings revealed that the high–nuclear‐grade group according to the modified Fuhrman grading system exhibited a significantly poor disease‐free survival (hazard ratio: 4.43; 95% confidence interval: 0.9‐22.6; p = 0.047). On the other hand, the cellularity was significantly higher in the modified Fuhrman high‐grade group ( p = 0.010 at the percentage of the hypercellular area; p = 0.003 at the maximum cell density) but did not qualify per se as a poor prognostic factor in the survival analyses. Furthermore, the modified Fuhrman high‐grade group significantly expressed the cell cycle–related genes (such as FOXM1 , PLK1 , and CDK1 ). In conclusion, our analyses suggest that an evaluation focusing on nuclear morphology (rather than on cellular density) can be more reliable in predicting the MLS prognosis.

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The forkhead box M1 (FOXM1) expression and antitumor effect of FOXM1 inhibition in malignant rhabdoid tumor

Cited by 7 publications

References 97 publications

Pan‐cancer analyses reveal multi‐omic signatures and clinical implementations of the forkhead‐box gene family

Pan‐cancer analyses reveal multi‐omic signatures and clinical implementations of the forkhead‐box gene family

Epigenetic regulation of FOXI2 promotes clear cell renal cell carcinoma progression

Prognostic value of nuclear morphometry in myxoid liposarcoma

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